@Article{cmc.2020.011909,
AUTHOR = {Zhenli Wang, Qun Wang, Jiayin Liu, Zheng Liang, Jingsong Xu},
TITLE = {New SAR Imaging Algorithm via the Optimal Time-Frequency  Transform Domain},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {2351--2363},
URL = {http://www.techscience.com/cmc/v65n3/40174},
ISSN = {1546-2226},
ABSTRACT = {To address the low-resolution imaging problem in relation to traditional Range 
Doppler (RD) algorithm, this paper intends to propose a new algorithm based on 
Fractional Fourier Transform (FrFT), which proves highly advantageous in the 
acquisition of high-resolution Synthetic Aperture Radar (SAR) images. The expression of 
the optimal order of SAR range signals using FrFT is deduced in detail, and the 
corresponding expression of the azimuth signal is also given. Theoretical analysis shows 
that, the optimal order in range (azimuth) direction, which turns out to be very unique, 
depends on the known imaging parameters of SAR, therefore the engineering 
practicability of FrFT-RD algorithm can be greatly improved without the need of order 
iteration. The FrFT-RD algorithm is established after an analysis of the optimal timefrequency transform. Experimental results demonstrate that, compared with traditional 
RD algorithm, the main-lobe width of the peak-point target of FrFT-RD algorithm is 
narrow in both range and azimuth directions. While the peak amplitude of the first sidelobe is reduced significantly, those of other side-lobes also drop in various degrees. In 
this way, the imaging resolution of range and azimuth can be increased considerably.},
DOI = {10.32604/cmc.2020.011909}
}